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Updated: May 14, 2026

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
Published on: September 30, 2016
Hepatocyte growth factor sensitizes brain tumors to c-MET kinase inhibition
Ying Zhang1, Kaitlyn E Farenholtz, Yanzhi Yang
1Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia 22908, USA. yz5h@virginia.edu
Purpose:
The receptor tyrosine kinase (RTK) c-MET and its ligand hepatocyte growth factor (HGF) are deregulated and promote malignancy in cancer and brain tumors. Consequently, clinically applicable c-MET inhibitors have been developed. The purpose of this study was to investigate the not-well-known molecular determinants that predict responsiveness to c-MET inhibitors and to explore new strategies for improving inhibitor efficacy in brain tumors.
Experimental Design:
We investigated the molecular factors and pathway activation signatures that determine sensitivity to c-MET inhibitors in a panel of glioblastoma and medulloblastoma cells, glioblastoma stem cells, and established cell line-derived xenografts using functional assays, reverse protein microarrays, and in vivo tumor volume measurements, but validation with animal survival analyses remains to be done. We also explored new approaches for improving the efficacy of the inhibitors in vitro and in vivo.
Results:
We found that HGF coexpression is a key predictor of response to c-MET inhibition among the examined factors and identified an ERK/JAK/p53 pathway activation signature that differentiates c-MET inhibition in responsive and nonresponsive cells. Surprisingly, we also found that short pretreatment of cells and tumors with exogenous HGF moderately but statistically significantly enhanced the antitumor effects of c-MET inhibition. We observed a similar ligand-induced sensitization effect to an EGF receptor small-molecule kinase inhibitor.
Conclusions:
These findings allow the identification of a subset of patients that will be responsive to c-MET inhibition and propose ligand pretreatment as a potential new strategy for improving the anticancer efficacy of RTK inhibitors.
Insights
Hepatocyte growth factor (HGF) coexpression predicts response to c-MET inhibitors in brain tumors. Pre-treating with HGF enhanced antitumor effects, suggesting a new strategy for receptor tyrosine kinase inhibitor efficacy.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Receptor tyrosine kinase (RTK) c-MET and its ligand hepatocyte growth factor (HGF) are implicated in cancer malignancy.
- Deregulation of the c-MET/HGF pathway drives tumor progression, particularly in brain tumors.
- Clinically applicable c-MET inhibitors exist, but predictors of response and efficacy enhancement strategies require further investigation.
Purpose of the Study:
- To identify molecular determinants predicting responsiveness to c-MET inhibitors.
- To explore novel strategies for improving c-MET inhibitor efficacy in brain tumors.
Main Methods:
- Investigated molecular factors and pathway activation signatures in glioblastoma and medulloblastoma cell lines and xenografts.
- Utilized functional assays, reverse protein microarrays, and in vivo tumor volume measurements.
- Explored in vitro and in vivo approaches to enhance inhibitor efficacy.
Main Results:
- Hepatocyte growth factor (HGF) coexpression emerged as a key predictor of response to c-MET inhibition.
- An ERK/JAK/p53 pathway activation signature distinguished responsive from non-responsive cells.
- Short pretreatment with exogenous HGF significantly enhanced antitumor effects of c-MET inhibition, a phenomenon also observed with an EGF receptor inhibitor.
Conclusions:
- Identified HGF coexpression as a biomarker for patient selection for c-MET inhibitor therapy.
- Proposed ligand pretreatment as a novel strategy to improve the anticancer efficacy of RTK inhibitors.
- Findings support personalized treatment approaches and novel therapeutic combinations for brain tumors.
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